University of California, Irvine

Statistics 120A

Intro to Probability & Statistics


Professor David van Dyk.
ICS bldg 1 room 346B
Phone: 949-824-5679
e-mail: dvd@uci.edu
Office Hours: Tu. 2:30-4:00
  or by appointment

Teaching Assistant: Fang Fang
e-mail:
ffang@ics.uci.edu
Section 1: Wed 4:00 - 5:00 in ICF 101
Section 2: Fri 2:00 - 3:00 in ICF 101
Office Hours: Monday 11:50-12:50 in ICS bldg 2 room 144
  Fridays 3:00-4:00 in ICS bldg 2 room 144
  or by appointment

Reader: Priya Govindarajan
e-mail:
pgovinda@ics.uci.edu
Office Hours: Monday 9:30-10:00 in ICS bldg 1 room 346H
  or by appointment


Objectives and Prerequisites

Statistics 120 is a one year sequence introducing basic concepts of probability and statistical inference. This material forms the mathematical and theoretical foundation for all modern statistical methods. Stat 120A is a systematic study of variation and randomness. An understanding of this material in necessary to distinguish interesting patterns in scientific data from the randomness inherent any data collection procedure. Because this is a statistics course, we develop the subject of probability with an eye on its application in statistical inference problems. Thus, the text has many illustrations of real world applications ranging from science and technology to the world of finance. In learning about the world from data, numerous issues in probability and statistics will be raised.

Students must be familiar with Single-Variable Calculus (Math 2AB).


Lectures

Tuesday and Thursdays 11:00-12:20 in ICS 174



Sections

One-hour weekly section meetings will begin the second week of the quarter. A section time will be determined that is convenient for all interested students. All sections are open to all students and cover essentially the same material.

In addition to section meetings, each teaching assistant will have office hours at a time and location to be announced. You may visit any of the teaching assistants during his or her office hours. Of course, your own section leader will know you best and may best be able to help you.


Textbooks and References

Required Text: Mathematical Statistics and Data Analysis, 2nd Edition by J. Rice, Duxbury Press. There are copies on reserve at the Science Library.

Other References:

An Introduction to Mathematical Statistics and Its Applications, 2nd Edition by Larsen and Marx, Prentice Hall.
Statistical Inference, by G. Casella and R. Berger, Wadsworth & Brooks/Cole.
An Introduction to Probability Theory and Its Applications, Vol. I by W. Feller, Wiley.

These books are at the Science Library and other libraries.


Syllabus

The following is an outline of lecture topics. The Handout topics.pdf gives details on the readings and homework problems associated with each topic.

Lecture 1 - 3

Lectures 4 - 6

Lectures 7 - 10

Lectures 11 - 13

Lectures 14 - 15

Lectures 16 - 17

Lectures 18

Basic Probability

Discrete Probability Functions Based on Combinatorics

Univariate Random Variables

Multivariate Random Variables

Linear Combinations of Random Variables

Convergence Theorems and Inequalities

Parameter Estimation


Exams

The exam and quiz dates are tentative; watch announcements for confirmation.

All exams will be closed book. You may, however, prepare a formula sheet for reference during the exams. A hand calculator is required for all exams.


Homework

Homework and other handouts will be distributed during lecture, some will be available to downloaded from the course homepage.

There will be weekly homework assignments that will due IN CLASS at the beginning of the Tuesday lecture , except when announced otherwise. The first assignment will be due on Tuesday, October 5.

Alternatively, you may turn in homework anytime before it is due in the ICS Distribution Center. Hours, location, and maps are posted at the website.

You may discuss homework problems with other students but should write them up independently. Please show your work.

THE OFFICIAL COURSE POLICY IS: NO LATE HOMEWORK WILL BE ACCEPTED.

In cases with extenuating circumstances your section leader may agree to accept late work. You should be aware that if your teaching assistant does not agree to accept and grade a late assignment then you will receive a grade of zero on that assignment.

In return for your timely submission of homework, we will make every effort to return graded homework and examinations promptly. This rapid feedback should help you be aware of any problems in your own understanding of the material.

Your lowest homework grade will be dropped when figuring your final quarter grade.


Grading

Course grades will be determined by these components, with approximate weights as shown:

Homework*
Quizzes
Midterm Exam
Final

25%
20%
20%
35%

*Students' lowest homework grade will be dropped when computing final grades.


Notices and E-mail

You should check your E-mail regularly for course notices. E-mail is also useful for communicating questions on course content or administrative issues.

The course e-mail is set up as a discussion list; this means that you can e-mail your fellow students and the teaching staff by e-mailing 37610-F04@classes.uci.edu. Please use this list appropriately:


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Please send comments to Prof. David van Dyk
URL:   www.ics.uci.edu /~dvd/Courses/120/syllabus.html
Last modified:   Wednesday, 20-Oct-2004 18:53:54 PDT

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